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Automate Pipefy updates in Lark for instant team-wide notifications. Latenode's visual editor simplifies complex logic, while affordable pricing makes scaling Pipefy and Lark workflows budget-friendly.
Connect Pipefy and Lark in minutes with Latenode.
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Create a New Scenario to Connect Pipefy and Lark
In the workspace, click the βCreate New Scenarioβ button.
Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Pipefy, triggered by another scenario, or executed manually (for testing purposes). In most cases, Pipefy or Lark will be your first step. To do this, click "Choose an app," find Pipefy or Lark, and select the appropriate trigger to start the scenario.
Add the Pipefy Node
Select the Pipefy node from the app selection panel on the right.
Pipefy
Add the Lark Node
Next, click the plus (+) icon on the Pipefy node, select Lark from the list of available apps, and choose the action you need from the list of nodes within Lark.
Pipefy
β
Lark
Authenticate Lark
Now, click the Lark node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Lark settings. Authentication allows you to use Lark through Latenode.
Configure the Pipefy and Lark Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Pipefy and Lark Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Lark
Trigger on Webhook
β
Pipefy
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β
Iterator
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Webhook response
Save and Activate the Scenario
After configuring Pipefy, Lark, and any additional nodes, donβt forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking βRun onceβ and triggering an event to check if the Pipefy and Lark integration works as expected. Depending on your setup, data should flow between Pipefy and Lark (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Pipefy + Lark + Google Calendar: When a card moves to a specific 'scheduling' phase in Pipefy, automatically create a calendar event in Google Calendar. Lark will then send a message to a specified group chat, notifying the relevant parties about the newly scheduled meeting.
Pipefy + Lark + Slack: Whenever a new card is created in Pipefy, send a message via Lark to a specified Slack channel to keep the team updated on new project tasks.
About Pipefy
Orchestrate Pipefy process management inside Latenode for end-to-end automation. Trigger flows on card changes, create new cards from external data, and sync Pipefy data with other apps. Bypass manual updates and build complex workflows using visual tools, code, or AI β without step limits or vendor lock-in.
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About Lark
Use Lark within Latenode to centralize team comms & automate notifications based on workflow triggers. Aggregate messages, streamline approvals, and post updates to specific channels. Benefit from Latenode's visual editor and logic tools for advanced routing that keeps everyone informed and aligned.
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How can I connect my Pipefy account to Lark using Latenode?
To connect your Pipefy account to Lark on Latenode, follow these steps:
Can I get notified in Lark when a Pipefy card moves?
Yes, you can! With Latenode, trigger Lark notifications based on Pipefy card movements, keeping your team informed automatically. Leverage advanced logic for customized alerts.
What types of tasks can I perform by integrating Pipefy with Lark?
Integrating Pipefy with Lark allows you to perform various tasks, including:
How do I handle errors that may occur when using Pipefy on Latenode?
Latenode provides detailed error logs and notifications. Use try/catch blocks and conditional logic to handle errors gracefully and ensure workflow reliability.
Are there any limitations to the Pipefy and Lark integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: